This is the authors' abstract. We don't add key points for this paper.
Quantitative characterization of 13 C-labeled metabolites is an important part of the stable isotope tracing method widely used in metabolic flux analysis. Given the long relaxation time and low sensitivity of 13 C nuclei, direct measurement of 13 C-labeled metabolites using one-dimensional 13 C NMR often fails to meet the demand of metabolomics studies, especially with large numbers of samples and metabolites having low abundance. Although HSQC-based 2D NMR methods have improved sensitivity with inversion detection, they are time-consuming and thus unsuitable for high-throughput absolute quantification of 13 C-labeled metabolites. In this study, we developed a method for absolute quantification of 13 C-labeled metabolites using naturally abundant TSP as a reference with the first increment of the HMQC pulse sequence, taking polarization transfer efficiencies into consideration. We validated this method using a mixture of 13 C-labeled alanine, methionine, glucose, and formic acid together with a mixture of alanine, lactate, glycine, uridine, cytosine, and hypoxanthine, which have natural 13 C abundance with known concentrations. We subsequently applied this method to analyze the flux of glucose in HepG2 cells infected with hepatitis B virus (HBV). The results showed that HBV infection increased the cellular uptake of glucose, stimulated glycolysis, and enhanced the pentose phosphate and hexosamine pathways for biosynthesis of RNA and DNA and nucleotide sugars to facilitate HBV replication. This method saves experimental time and provides a possibility for absolute quantitative tracking of the 13 C-labeled metabolites for high-throughput studies.
Answers are grounded in this paper and cite their sources.
No takes yet. Share an insight, caveat, or question.
Wan et al. (2017) studied this question.
Synapse has enriched 10 related papers. Consider them for comparative context: